Project Name
90% Faster IoT Data Collection with a Golang SNMP Poller
Our client, a leading US-based network monitoring and management provider, needed to drastically improve the performance and scalability of their IoT data collection system. The legacy implementation struggled to handle millions of devices as the user base grew. This led to longer runtimes and higher resource usage. Ksolves built a high-concurrency SNMP Poller using Golang to optimize throughput, reduce latency, and support rapid, frequent data collection, all with efficient resource utilization.
The client’s legacy system faced multiple roadblocks that hindered performance, scalability, and operational efficiency as device volumes grew.
- Scalability Bottlenecks: The existing data collector degraded in performance as the number of IoT devices increased exponentially.
- Latency & Frequency: The client needed more frequent collection cycles each day while maintaining low latency between cycles.
- Resource Optimization: Required a solution that handled concurrent polling without overloading CPU and RAM resources.
Ksolves developed a robust Golang-based SNMP data collector by re-engineering the legacy system for high concurrency:
- High-Concurrency Design: Leveraged Golang’s lightweight goroutines to achieve massive parallelism for polling millions of devices simultaneously.
- Optimal Resource Usage: Used Golang’s concurrency primitives along with packages like Ant, Fiber, and Context to manage threads, handle timeouts, and optimize runtime behavior.
- Cloud-Native Deployment: Deployed the solution inside a Kubernetes cluster, ensuring scalability and smooth communication with other services and databases (TimescaleDB and Cassandra).
- Resilient Architecture: Ensured high availability and seamless failover with Zookeeper coordination, while maintaining robust integration with IoT devices.
The new Golang SNMP Poller delivered significant performance gains:
- 90% Faster: Data collection cycles reduced from ~1 hour to just 3 minutes.
- Higher Throughput: Collected ~7,000 files from an equal number of devices within each cycle.
- Resource Efficiency: CPU usage peaked at ~50%, RAM stayed stable around ~30%, ensuring smooth operations even at peak loads.
- Increased Frequency: Faster collection times allowed more frequent cycles each day, supporting real-time monitoring needs.
By modernizing the IoT data collector with Golang’s high-concurrency architecture, Ksolves helped the client eliminate previous performance bottlenecks and resource issues. The robust SNMP Poller now supports millions of devices, faster collection cycles, and scalable operations. This sets the stage for future growth in their network monitoring platform.
Don’t Let Legacy Performance Slow You Down. Modernize Now!
